Emilio Ferrara (Professor of Computer Science at USC) & (HUmans | MAchines | Networks | Society) Lab

MITIGATE: Modeling Individual Trajectories and Incentives in Gamified Techno-social Environments

Funded by: DARPA Young Faculty Award & DARPA Director’s Award


  1. Kobayashi, T., Sapienza, A., & Ferrara, E. Extracting the multi-timescale activity patterns of online financial markets. Scientific Reports, volume 8, Article number: 11184 (2018). Article Link
  2. Sapienza, A., Zeng, Y., Bessi, A., Lerman, K., & Ferrara, E. Individual performance in team-based online games. Royal Society Open Science, 5(6), 180329. (2018). Article Link
  3. Sapienza, A., Bessi, A., & Ferrara, E. Non-negative tensor factorization for human behavioral pattern mining in online games. Information, 9(3), 66. (2018). Article Link
  4. Sapienza, A., Goyal, P., & Ferrara, E. Recommending Teammates with Deep Neural Networks. Proceedings of the 29th on Hypertext and Social Media, 57-61. (2018). Article Link
  5. Arakelyan, S., Morstatter, F., Martin, M., Ferrara, E., & Galstyan, A. Mining and Forecasting Career Trajectories of Music Artists. Proceedings of the 29th on Hypertext and Social Media, 11-19 (2018). Article Link
  6. Matsui, Sapienza, Ferrara. Playing under the influence (of Twitch): The effects of streaming on gamers’ performance. UCI Esports Conference 2018, 2018
  7. Hosseinmardi, H., Kao, H. T., Lerman, K., & Ferrara, E. Discovering hidden structure in high dimensional human behavioral data via tensor factorization. In WSDM Heteronam Workshop. (2018). Article Link
  8. Ferrara, E., Alipourfard, N., Burghardt, K., Gopal, C., & Lerman, K. Dynamics of content quality in collaborative knowledge production. Proceedings of the Eleventh International AAAI Conference on Web and Social Media (ICWSM 2017) (2017). Article Link
  9. Sapienza, A., Peng, H., & Ferrara, E. Performance dynamics and success in online games. In Data Mining Workshops (ICDMW), 2017 IEEE International Conference on (pp. 902-909). IEEE. (2017, November). Article Link
  10. Goyal, P., Hosseinmardi, H., Ferrara, E., & Galstyan, A. (2018). Capturing edge attributes via network embedding. IEEE Transactions on Computational Social Systems, 5(4), 907-917. Article Link

Pending publications:

  1. Hosseinmardi, Ghasemian, Narayanan, Lerman, Ferrara. Supervised Embedding of Temporal Data via Tensor Factorization. Under review
  2. Pozzana, I., & Ferrara, E. (2018). Measuring bot and human behavioral dynamics. arXiv preprint arXiv:1802.04286. Under review
  3. Zeng, Sapienza, Ferrara (2018). The Influence of Social Ties on Performance in Team-based Online Games. Under review
  4. Sapienza, A., Goyal, P., & Ferrara, E. Deep Neural Networks for Optimal Team Composition. arXiv preprint arXiv:1805.03285. Under review
  5. Hosseinmardi, Twari, Kao, Yan, Narayanan, Falk, Lerman, Ferrara. Predictability of Perceived Job Performance via Physiological Signals in Longitudinal Data. Under review


Emilio Ferrara
Emilio Ferrara
Principal Investigator
Homa Hosseinmardi Goran Muric Anna Sapienza Zhenxiang Gao
Homa Hosseinmardi
Goran Muric
Anna Sapienza
Gao Zhenxiang
Adam Badawy Ashok Deb Palash Goyal Di Huang
Adam Badawy
Ashok Deb
Palash Goyal
Di (Diana) Huang
Hsien-Te Kao Akira Matsui Shen Yan Yilei Zeng
Hsien-Te Kao
Akira Matsui
Shen Yan
Yilei Zeng

Visit REGULARITY AI for Consultancy & Expert Witness Services